Exam NCA-AIIO Topic 2 Question 10 Discussion

Actual exam question for NVIDIA's NCA-AIIO exam
Question #: 10
Topic #: 2
You are managing an AI data center where multiple GPUs are orchestrated across a large cluster to run various deep learning tasks. Which of the following actions best describes an efficient approach to cluster orchestration in this environment?

Suggested Answer: C Vote an answer

Implementing a Kubernetes-based orchestration system to dynamically allocate GPU resources based on workload demands is the most efficient approach for managing a multi-GPU AI cluster. Kubernetes, enhanced by NVIDIA's GPU Operator, supports dynamic scheduling, resource allocation, and scaling for deep learning tasks, ensuring optimal GPU utilization and adaptability.Option A (round-robin) ignores workload specifics, leading to inefficiency. Option B (least power) sacrifices performance for minor cost savings. Option D (most powerful GPU) creates bottlenecks and underutilizes other GPUs. NVIDIA's documentation on Kubernetes integration highlights its effectiveness for AI cluster orchestration.

by Lucien at Mar 26, 2026, 09:39 AM

Comments

Chosen Answer:
This is a voting comment (?) , you can switch to a simple comment.
Switch to a voting comment New
Nick name: Submit Cancel
A voting comment increases the vote count for the chosen answer by one.

Upvoting a comment with a selected answer will also increase the vote count towards that answer by one. So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.

0
0
0
10